Computational Intelligence and Neuroscience / 2015 / Article / Tab 6 / Research Article
Feature Selection Applying Statistical and Neurofuzzy Methods to EEG-Based BCI Table 6 Success rate (in %) as a function of the input vector dimension (
) applying the fuzzy criteria and order selection.
:
learning session,
rule prune session, and
test session.
Average User 1 1 49.78 55.62 39.27 40.54 54.21 58.60 49.67 2 56.98 66.04 60.17 55.39 70.28 71.65 63.42 3 65.30 60.17 65.98 59.32 67.40 59.46 62.94 4 78.08 73.73 78.78 65.14 74.02 70.53 73.38 5 78.76 73.44 80.47 78.35 77.45 69.58 76.34 6 79.71 70.19 80.63 76.86 77.85 65.97 75.20 7 79.23 78.51 78.62 58.97 79.98 68.15 73.91 8 79.07 77.79 79.48 71.62 76.50 69.47 75.66 9 80.30 79.00 80.04 66.37 81.08 81.07 77.98 User 2 1 34.48 58.33 65.87 66.07 60.94 57.63 57.22 2 62.56 71.44 72.90 67.34 78.91 67.63 70.13 3 68.69 75.43 72.00 68.52 75.98 63.82 70.74 4 61.43 63.31 70.56 59.50 69.53 62.33 64.44 5 61.46 70.05 67.17 59.65 63.54 53.74 62.60 6 58.06 69.70 72.87 58.41 61.83 62.07 63.83 7 68.03 65.74 65.84 58.38 45.60 61.95 60.92 8 65.01 62.24 50.60 43.98 70.95 58.67 58.58 9 68.15 66.20 62.41 48.10 66.30 58.64 61.63 10 65.67 66.41 65.15 63.59 66.26 56.45 63.92 11 52.33 67.36 68.63 58.27 56.57 55.90 59.84 User 3 1 42.50 54.61 34.65 46.41 54.47 45.59 46.37 2 41.28 36.01 40.17 46.82 49.97 46.82 43.51 3 43.87 48.60 44.22 46.90 48.01 46.06 46.28 4 44.39 53.21 41.95 48.83 51.26 48.48 48.02 5 45.17 54.38 42.88 44.89 53.91 49.45 48.45 6 42.67 51.26 43.90 47.14 56.89 47.20 48.18 7 39.85 56.75 41.10 42.73 48.57 44.57 45.60 8 41.16 54.56 43.69 46.73 45.39 45.59 46.19 9 42.03 50.29 40.38 43.55 46.47 45.85 44.76 10 41.31 50.32 38.75 43.43 44.10 38.70 42.77 11 40.32 45.97 38.49 48.16 44.71 44.60 43.71 12 41.19 50.18 44.62 41.44 42.79 45.24 44.24 13 42.01 44.80 36.31 42.03 44.92 41.65 41.96 14 41.69 47.81 41.69 47.96 45.74 41.44 44.39 15 41.42 51.90 39.22 46.99 42.41 43.05 44.17 16 40.23 41.12 37.65 43.49 39.08 43.87 40.91